41 research outputs found

    NELL1-Positive HIV-Associated Lupus-Like Membranous Nephropathy with Spontaneous Remission

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    Introduction: Kidney biopsy findings in patients with human immunodeficiency virus (HIV) are diverse, and optimal therapy for the various immune complex diseases in the setting of HIV is unknown. Case Presentation: A man with well-controlled HIV developed nephrotic range proteinuria, and kidney biopsy revealed lupus-like glomerulonephritis with a predominantly membranous pattern of injury. He opted for conservative therapy and experienced spontaneous and sustained remission. Subsequent testing revealed neural epidermal growth factor-like 1 (NELL1)-positive glomerular immune deposits. NELL1-positive glomerular immune deposits were identified in a total of 2 of 5 tested HIV-associated membranous nephropathy (MN), which were morphologically dissimilar and one of which weakly co-expressed phospholipase A2 receptor (PLA2R). Discussion: This case suggests potentially different outcomes in patients with immune complex diseases in the setting of HIV based on disease etiology and histopathology. HIV-associated MN is occasionally NELL1-positive

    HER2 Testing and Clinical Decision Making in Gastroesophageal Adenocarcinoma

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    CONTEXT: ERBB2 (erb-b2 receptor tyrosine kinase 2 or HER2) is currently the only biomarker established for selection of a specific therapy for patients with advanced gastroesophageal adenocarcinoma (GEA). However, there are no comprehensive guidelines for the assessment of HER2 in patients with GEA. OBJECTIVES: To establish an evidence-based guideline for HER2 testing in patients with GEA, to formalize the algorithms for methods to improve the accuracy of HER2 testing while addressing which patients and tumor specimens are appropriate, and to provide guidance on clinical decision making. DESIGN: The College of American Pathologists, American Society for Clinical Pathology, and American Society of Clinical Oncology convened an expert panel to conduct a systematic review of the literature to develop an evidence-based guideline with recommendations for optimal HER2 testing in patients with GEA. RESULTS: The panel is proposing 11 recommendations with strong agreement from the open-comment participants. RECOMMENDATIONS: The panel recommends that tumor specimen(s) from all patients with advanced GEA, who are candidates for HER2-targeted therapy, should be assessed for HER2 status before the initiation of HER2-targeted therapy. Clinicians should offer combination chemotherapy and a HER2-targeted agent as initial therapy for all patients with HER2-positive advanced GEA. For pathologists, guidance is provided for morphologic selection of neoplastic tissue, testing algorithms, scoring methods, interpretation and reporting of results, and laboratory quality assurance. CONCLUSIONS: This guideline provides specific recommendations for assessment of HER2 in patients with advanced GEA while addressing pertinent technical issues and clinical implications of the results

    HER2 Testing and Clinical Decision Making in Gastroesophageal Adenocarcinoma: Guideline From the College of American Pathologists, American Society for Clinical Pathology, and American Society of Clinical Oncology

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    -ERBB2 (erb-b2 receptor tyrosine kinase 2 or HER2) is currently the only biomarker established for selection of a specific therapy for patients with advanced gastroesophageal adenocarcinoma (GEA). However, there are no comprehensive guidelines for the as

    Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients

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    Mouse Model of Hemolytic-Uremic Syndrome Caused by Endotoxin-Free Shiga Toxin 2 (Stx2) and Protection from Lethal Outcome by Anti-Stx2 Antibodyâ–¿

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    Hemolytic-uremic syndrome (HUS) results from infection by Shiga toxin (Stx)-producing Escherichia coli and is the most common cause of acute renal failure in children. We have developed a mouse model of HUS by administering endotoxin-free Stx2 in multiple doses over 7 to 8 days. At sacrifice, moribund animals demonstrated signs of HUS: increased blood urea nitrogen and serum creatinine levels, proteinuria, deposition of fibrin(ogen), glomerular endothelial damage, hemolysis, leukocytopenia, and neutrophilia. Increased expression of proinflammatory chemokines and cytokines in the sera of Stx2-treated mice indicated a systemic inflammatory response. Currently, specific therapeutics for HUS are lacking, and therapy for patients is primarily supportive. Mice that received 11E10, a monoclonal anti-Stx2 antibody, 4 days after starting injections of Stx2 recovered fully, displaying normal renal function and normal levels of neutrophils and lymphocytes. In addition, these mice showed decreased fibrin(ogen) deposition and expression of proinflammatory mediators compared to those of Stx2-treated mice in the absence of antibody. These results indicate that, when performed during progression of HUS, passive immunization of mice with anti-Stx2 antibody prevented the lethal effects of Stx2

    DCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy Response

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    This study investigates the effectiveness of hundreds of texture features extracted from voxel-based dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parametric maps for early prediction of breast cancer response to neoadjuvant chemotherapy (NAC). In total, 38 patients with breast cancer underwent DCE-MRI before (baseline) and after the first of the 6–8 NAC cycles. Quantitative pharmacokinetic (PK) parameters and semiquantitative metrics were estimated from DCE-MRI time-course data. The residual cancer burden (RCB) index value was computed based on pathological analysis of surgical specimens after NAC completion. In total, 1043 texture features were extracted from each of the 13 parametric maps of quantitative PK or semiquantitative metric, and their capabilities for early prediction of RCB were examined by correlating feature changes between the 2 MRI studies with RCB. There were 1069 pairs of feature–map combinations that showed effectiveness for response prediction with 4 correlation coefficients >0.7. The 3-dimensional gray-level cooccurrence matrix was the most effective feature extraction method for therapy response prediction, and, in general, the statistical features describing texture heterogeneity were the most effective features. Quantitative PK parameters, particularly those estimated with the shutter-speed model, were more likely to generate effective features for prediction response compared with the semiquantitative metrics. The best feature–map pair could predict pathologic complete response with 100% sensitivity and 100% specificity using our cohort. In conclusion, breast tumor heterogeneity in microvasculature as measured by texture features of voxel-based DCE-MRI parametric maps could be a useful biomarker for early prediction of NAC response

    Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI

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    The purpose is to compare quantitative dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) metrics with imaging tumor size for early prediction of breast cancer response to neoadjuvant chemotherapy (NACT) and evaluation of residual cancer burden (RCB). Twenty-eight patients with 29 primary breast tumors underwent DCE-MRI exams before, after one cycle of, at midpoint of, and after NACT. MRI tumor size in the longest diameter (LD) was measured according to the RECIST (Response Evaluation Criteria In Solid Tumors) guidelines. Pharmacokinetic analyses of DCE-MRI data were performed with the standard Tofts and Shutter-Speed models (TM and SSM). After one NACT cycle the percent changes of DCE-MRI parameters Ktrans (contrast agent plasma/interstitium transfer rate constant), ve (extravascular and extracellular volume fraction), kep (intravasation rate constant), and SSM-unique Ï„i (mean intracellular water lifetime) are good to excellent early predictors of pathologic complete response (pCR) vs. non-pCR, with univariate logistic regression C statistics value in the range of 0.804 to 0.967. ve values after one cycle and at NACT midpoint are also good predictors of response, with C ranging 0.845 to 0.897. However, RECIST LD changes are poor predictors with C = 0.609 and 0.673, respectively. Post-NACT Ktrans, Ï„i, and RECIST LD show statistically significant (P < .05) correlations with RCB. The performances of TM and SSM analyses for early prediction of response and RCB evaluation are comparable. In conclusion, quantitative DCE-MRI parameters are superior to imaging tumor size for early prediction of therapy response. Both TM and SSM analyses are effective for therapy response evaluation. However, the Ï„i parameter derived only with SSM analysis allows the unique opportunity to potentially quantify therapy-induced changes in tumor energetic metabolism

    Prostate cancer with a pseudocapsule at MR imaging: a marker of high grade and stage disease?

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    Clinicopathological correlates of prostate cancer associated with a pseudocapsule at T2-weighted magnetic resonance (MR) imaging are presented in a retrospective series of 15 patients. Of 15 tumors, 14 involved the peripheral zone. Extracapsular extension was seen in 14 cases. Tumor Gleason score was 8 or above in 12 of 15 cases, and ductal type adenocarcinoma was identified in 4 cases. Step section histopathological correlation (n=5) demonstrated that the pseudocapsule corresponded with dense compressive or reactive peritumoral fibrosis. A pseudocapsule around prostate cancer at T2-weighted MR imaging is a rare finding that appears to be associated with high grade and stage disease
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